OnSet

An OnSet set visualization.

OnSet interprets binary columns (i.e. columns with a literal "0" or "1", "true" or "false", "yes" or "no" in every row) as sets. Any field in the sets option will be interpreted in this way. Since most data is not arranged in binary columns, the visualization also supports arbitrary categorical fields with the fields option. Each field specified in this list will first be preprocessed into a collection sets, one for each field value, with the name "<fieldName> <value>".

For example, suppose the data table is:

[
  {"id": "n1", "f1": 1, "f2": "x"},
  {"id": "n2", "f1": 0, "f2": "x"},
  {"id": "n3", "f1": 0, "f2": "y"}
]

You could create an OnSet visualization with the following options:

new OnSet({
  data: data,
  id: 'id',
  sets: ['f1'],
  fields: ['f2']
});

This would preprocess the f2 field into f2 x and f2 y sets as follows and make them available to OnSet:

f1: n1
f2 x: n1, n2
f2 y: n3

If the rowSets option is set to true, the set membership is transposed and the sets become:

n1: f1, f2 x
n2: f2 x
n3: f2 y

Options

data (Table)
The data table.
id (String)
A field containing unique ids for each record.
sets (Array of String)
A list of fields containing 0/1 set membership information which will be populated in the OnSet view.
fields (Array of String)
A list of categorical fields that will be translated into collections of 0/1 sets for every distinct value in each field and populated in the OnSet view.
rowSets (Boolean)
If false, treat the columns as sets, if true, treat the rows as sets. Default is false.